Applications on internet are generally made with a several languages programming and must be able to run well on operating systems, even different devices. REST API is an architecture designed on a web service that has been widely accepted by the public for simple use in mobile cloud paradigm. RESTful web service works by identifies a URI (Uniform resourced Identifier) and then modify it with GET, POST, PUT or DELETE command that can be represented in several languages programming. Mobile applications nowadays are not separated from daily life community through the ease and development of technology that is increasingly rising. Monitoring is a systematic data collection activity regarding an ongoing activity. Monitoring of University of Trunojoyo Madura dormitory activities is needed so that student character education can run optimally. Constraints that have been encountered are all process monitoring is still done manually, so it required a monitoring application to facilitate monitoring data process become more qualified and simplify the entire user that occupant, caretaker or manager in conduct of monitoring entire activity in the dorm.
Tripadvisor is a travel site that offers reviews of hotels, flights, restaurants and tourist attractions. Reviews from tourists are indispensable for developing tourism, but the number of comments will complicate the owner to analyze the important aspects of the review so that the reviews should be beneficial to develop spot, overlooked or unreadable. This research aims to facilitate the owner of tourist places in the Bangkalan regency to classify negative opinion, positive opinion, and to know the target opinion using techniques sentiment analysis. The initial stage of the sentiment process analysis on this research is Web scrapping on the TripAdvisor site, the purpose of this stage to collect user review data. The review Data obtained will then be classified using the Support Vector Machine (SVM) method. Further review data classification results will be processed using the Text Mining method, to find the target opinion that is considered important in the review. Based on the research that has been done, obtained the accuracy of the classification process with SVM method of 70.22% for Indonesian-language reviews.
A post-publication change was made to this article on 20 Apr 2020 as the previously published article was a duplicate.
Montoring is a systematic process of collecting data from that data to be evaluated to find out the quality of the system, along with times the monitoring and evaluation process is done using technology that can be web-based or android mobile, so that the process of monitoring & evaluation is easier and more efficient. In addition to getting an accurate assessment, it is necessary to apply a method that can process data into an objective assessment, the SMART method is a simple multi-attribute method that can be used in processing data into an accurate assessment. Trunojoyo Madura University Dormitory has many activities aimed at realizing the education of the dormitory character, the activity data is monitored and evaluated to provide an assessment of the activeness of students living in the dormitory. However, the process of monitoring & evaluation of the dormitory is still carried out manually, so an application for monitoring & evaluating the activities of the hostel which uses the SMART method is needed to facilitate the monitoring process and obtain an objective assessment result.
Thesis topic is an inseparable part in the world of tertiary education. Determining the thesis topic becomes a problem for students. The determination of the thesis topic leads to the trend of the topic in the development of computer science. The determination of the topic of thesis for students often ignores their ability to process. Ideally in determining the topic of the thesis, the record of student grades can be an important variable in deciding topics for students, where the student’s grade record is contained in the transcript. Therefore, this study uses the Support Vector Machine (SVM) method in recommending thesis topics by classifying selected subject groups that have been taken by students. The Support Vector Machine method is a classification method of supervision because it requires testing data and training data as a training process at the time of prediction. Support Vector Machine provides an optimal model, which provides a solution with a maximum margin to determine the distance of data to the hyperplane. The test results show an accuracy of 80%.
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